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121 industry
1) промышленность, индустрия2) стат. отрасль промышленности; отрасль экономической деятельности; отрасль экономики -
122 optical
12 -
123 plant
n1) завод; фабрика; предприятие2) установка; агрегат4) растение
- assembly plant
- atomic power plant
- automobile plant
- canning plant
- chemical plant
- computer-controlled plant
- concentrating plant
- contractor's plant
- crop plant
- cultivated plant
- dairy plant
- dressing plant
- engineering plant
- experimental plant
- factory plant
- fertilizer plant
- fixed plant
- forage plant
- going plant
- greenfield plant
- heavy engineering plant
- heavy machine-building plant
- high-producing plant
- idle plant
- industrial plant
- individual plants
- integrated plant
- large plant
- leading plant
- machine-tool plant
- major plant
- maker's plant
- manufacturer's plant
- manufacturing plant
- mechanical plant
- modern plant
- motor plant
- nuclear power plant
- oil-processing plant
- packaged plant
- packing plant
- petrochemical plant
- pilot plant
- pilot-producing plant
- power plant
- process plant
- processing plant
- producing plant
- production plant
- representative plant
- standby plant
- steam-electric plant
- subcontractor's plant
- supplier plant
- supplier's plant
- textile plant
- utility plant
- plant in action
- bring a plant up-to-date
- close a plant
- direct a plant
- modernize a plant
- operate a plant
- reconstruct a plant
- run a plant
- shut down a plant -
124 Artificial Intelligence
In my opinion, none of [these programs] does even remote justice to the complexity of human mental processes. Unlike men, "artificially intelligent" programs tend to be single minded, undistractable, and unemotional. (Neisser, 1967, p. 9)Future progress in [artificial intelligence] will depend on the development of both practical and theoretical knowledge.... As regards theoretical knowledge, some have sought a unified theory of artificial intelligence. My view is that artificial intelligence is (or soon will be) an engineering discipline since its primary goal is to build things. (Nilsson, 1971, pp. vii-viii)Most workers in AI [artificial intelligence] research and in related fields confess to a pronounced feeling of disappointment in what has been achieved in the last 25 years. Workers entered the field around 1950, and even around 1960, with high hopes that are very far from being realized in 1972. In no part of the field have the discoveries made so far produced the major impact that was then promised.... In the meantime, claims and predictions regarding the potential results of AI research had been publicized which went even farther than the expectations of the majority of workers in the field, whose embarrassments have been added to by the lamentable failure of such inflated predictions....When able and respected scientists write in letters to the present author that AI, the major goal of computing science, represents "another step in the general process of evolution"; that possibilities in the 1980s include an all-purpose intelligence on a human-scale knowledge base; that awe-inspiring possibilities suggest themselves based on machine intelligence exceeding human intelligence by the year 2000 [one has the right to be skeptical]. (Lighthill, 1972, p. 17)4) Just as Astronomy Succeeded Astrology, the Discovery of Intellectual Processes in Machines Should Lead to a Science, EventuallyJust as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations on intellectual processes in machines should lead to a science, eventually. (Minsky & Papert, 1973, p. 11)5) Problems in Machine Intelligence Arise Because Things Obvious to Any Person Are Not Represented in the ProgramMany problems arise in experiments on machine intelligence because things obvious to any person are not represented in any program. One can pull with a string, but one cannot push with one.... Simple facts like these caused serious problems when Charniak attempted to extend Bobrow's "Student" program to more realistic applications, and they have not been faced up to until now. (Minsky & Papert, 1973, p. 77)What do we mean by [a symbolic] "description"? We do not mean to suggest that our descriptions must be made of strings of ordinary language words (although they might be). The simplest kind of description is a structure in which some features of a situation are represented by single ("primitive") symbols, and relations between those features are represented by other symbols-or by other features of the way the description is put together. (Minsky & Papert, 1973, p. 11)[AI is] the use of computer programs and programming techniques to cast light on the principles of intelligence in general and human thought in particular. (Boden, 1977, p. 5)The word you look for and hardly ever see in the early AI literature is the word knowledge. They didn't believe you have to know anything, you could always rework it all.... In fact 1967 is the turning point in my mind when there was enough feeling that the old ideas of general principles had to go.... I came up with an argument for what I called the primacy of expertise, and at the time I called the other guys the generalists. (Moses, quoted in McCorduck, 1979, pp. 228-229)9) Artificial Intelligence Is Psychology in a Particularly Pure and Abstract FormThe basic idea of cognitive science is that intelligent beings are semantic engines-in other words, automatic formal systems with interpretations under which they consistently make sense. We can now see why this includes psychology and artificial intelligence on a more or less equal footing: people and intelligent computers (if and when there are any) turn out to be merely different manifestations of the same underlying phenomenon. Moreover, with universal hardware, any semantic engine can in principle be formally imitated by a computer if only the right program can be found. And that will guarantee semantic imitation as well, since (given the appropriate formal behavior) the semantics is "taking care of itself" anyway. Thus we also see why, from this perspective, artificial intelligence can be regarded as psychology in a particularly pure and abstract form. The same fundamental structures are under investigation, but in AI, all the relevant parameters are under direct experimental control (in the programming), without any messy physiology or ethics to get in the way. (Haugeland, 1981b, p. 31)There are many different kinds of reasoning one might imagine:Formal reasoning involves the syntactic manipulation of data structures to deduce new ones following prespecified rules of inference. Mathematical logic is the archetypical formal representation. Procedural reasoning uses simulation to answer questions and solve problems. When we use a program to answer What is the sum of 3 and 4? it uses, or "runs," a procedural model of arithmetic. Reasoning by analogy seems to be a very natural mode of thought for humans but, so far, difficult to accomplish in AI programs. The idea is that when you ask the question Can robins fly? the system might reason that "robins are like sparrows, and I know that sparrows can fly, so robins probably can fly."Generalization and abstraction are also natural reasoning process for humans that are difficult to pin down well enough to implement in a program. If one knows that Robins have wings, that Sparrows have wings, and that Blue jays have wings, eventually one will believe that All birds have wings. This capability may be at the core of most human learning, but it has not yet become a useful technique in AI.... Meta- level reasoning is demonstrated by the way one answers the question What is Paul Newman's telephone number? You might reason that "if I knew Paul Newman's number, I would know that I knew it, because it is a notable fact." This involves using "knowledge about what you know," in particular, about the extent of your knowledge and about the importance of certain facts. Recent research in psychology and AI indicates that meta-level reasoning may play a central role in human cognitive processing. (Barr & Feigenbaum, 1981, pp. 146-147)Suffice it to say that programs already exist that can do things-or, at the very least, appear to be beginning to do things-which ill-informed critics have asserted a priori to be impossible. Examples include: perceiving in a holistic as opposed to an atomistic way; using language creatively; translating sensibly from one language to another by way of a language-neutral semantic representation; planning acts in a broad and sketchy fashion, the details being decided only in execution; distinguishing between different species of emotional reaction according to the psychological context of the subject. (Boden, 1981, p. 33)Can the synthesis of Man and Machine ever be stable, or will the purely organic component become such a hindrance that it has to be discarded? If this eventually happens-and I have... good reasons for thinking that it must-we have nothing to regret and certainly nothing to fear. (Clarke, 1984, p. 243)The thesis of GOFAI... is not that the processes underlying intelligence can be described symbolically... but that they are symbolic. (Haugeland, 1985, p. 113)14) Artificial Intelligence Provides a Useful Approach to Psychological and Psychiatric Theory FormationIt is all very well formulating psychological and psychiatric theories verbally but, when using natural language (even technical jargon), it is difficult to recognise when a theory is complete; oversights are all too easily made, gaps too readily left. This is a point which is generally recognised to be true and it is for precisely this reason that the behavioural sciences attempt to follow the natural sciences in using "classical" mathematics as a more rigorous descriptive language. However, it is an unfortunate fact that, with a few notable exceptions, there has been a marked lack of success in this application. It is my belief that a different approach-a different mathematics-is needed, and that AI provides just this approach. (Hand, quoted in Hand, 1985, pp. 6-7)We might distinguish among four kinds of AI.Research of this kind involves building and programming computers to perform tasks which, to paraphrase Marvin Minsky, would require intelligence if they were done by us. Researchers in nonpsychological AI make no claims whatsoever about the psychological realism of their programs or the devices they build, that is, about whether or not computers perform tasks as humans do.Research here is guided by the view that the computer is a useful tool in the study of mind. In particular, we can write computer programs or build devices that simulate alleged psychological processes in humans and then test our predictions about how the alleged processes work. We can weave these programs and devices together with other programs and devices that simulate different alleged mental processes and thereby test the degree to which the AI system as a whole simulates human mentality. According to weak psychological AI, working with computer models is a way of refining and testing hypotheses about processes that are allegedly realized in human minds.... According to this view, our minds are computers and therefore can be duplicated by other computers. Sherry Turkle writes that the "real ambition is of mythic proportions, making a general purpose intelligence, a mind." (Turkle, 1984, p. 240) The authors of a major text announce that "the ultimate goal of AI research is to build a person or, more humbly, an animal." (Charniak & McDermott, 1985, p. 7)Research in this field, like strong psychological AI, takes seriously the functionalist view that mentality can be realized in many different types of physical devices. Suprapsychological AI, however, accuses strong psychological AI of being chauvinisticof being only interested in human intelligence! Suprapsychological AI claims to be interested in all the conceivable ways intelligence can be realized. (Flanagan, 1991, pp. 241-242)16) Determination of Relevance of Rules in Particular ContextsEven if the [rules] were stored in a context-free form the computer still couldn't use them. To do that the computer requires rules enabling it to draw on just those [ rules] which are relevant in each particular context. Determination of relevance will have to be based on further facts and rules, but the question will again arise as to which facts and rules are relevant for making each particular determination. One could always invoke further facts and rules to answer this question, but of course these must be only the relevant ones. And so it goes. It seems that AI workers will never be able to get started here unless they can settle the problem of relevance beforehand by cataloguing types of context and listing just those facts which are relevant in each. (Dreyfus & Dreyfus, 1986, p. 80)Perhaps the single most important idea to artificial intelligence is that there is no fundamental difference between form and content, that meaning can be captured in a set of symbols such as a semantic net. (G. Johnson, 1986, p. 250)Artificial intelligence is based on the assumption that the mind can be described as some kind of formal system manipulating symbols that stand for things in the world. Thus it doesn't matter what the brain is made of, or what it uses for tokens in the great game of thinking. Using an equivalent set of tokens and rules, we can do thinking with a digital computer, just as we can play chess using cups, salt and pepper shakers, knives, forks, and spoons. Using the right software, one system (the mind) can be mapped into the other (the computer). (G. Johnson, 1986, p. 250)19) A Statement of the Primary and Secondary Purposes of Artificial IntelligenceThe primary goal of Artificial Intelligence is to make machines smarter.The secondary goals of Artificial Intelligence are to understand what intelligence is (the Nobel laureate purpose) and to make machines more useful (the entrepreneurial purpose). (Winston, 1987, p. 1)The theoretical ideas of older branches of engineering are captured in the language of mathematics. We contend that mathematical logic provides the basis for theory in AI. Although many computer scientists already count logic as fundamental to computer science in general, we put forward an even stronger form of the logic-is-important argument....AI deals mainly with the problem of representing and using declarative (as opposed to procedural) knowledge. Declarative knowledge is the kind that is expressed as sentences, and AI needs a language in which to state these sentences. Because the languages in which this knowledge usually is originally captured (natural languages such as English) are not suitable for computer representations, some other language with the appropriate properties must be used. It turns out, we think, that the appropriate properties include at least those that have been uppermost in the minds of logicians in their development of logical languages such as the predicate calculus. Thus, we think that any language for expressing knowledge in AI systems must be at least as expressive as the first-order predicate calculus. (Genesereth & Nilsson, 1987, p. viii)21) Perceptual Structures Can Be Represented as Lists of Elementary PropositionsIn artificial intelligence studies, perceptual structures are represented as assemblages of description lists, the elementary components of which are propositions asserting that certain relations hold among elements. (Chase & Simon, 1988, p. 490)Artificial intelligence (AI) is sometimes defined as the study of how to build and/or program computers to enable them to do the sorts of things that minds can do. Some of these things are commonly regarded as requiring intelligence: offering a medical diagnosis and/or prescription, giving legal or scientific advice, proving theorems in logic or mathematics. Others are not, because they can be done by all normal adults irrespective of educational background (and sometimes by non-human animals too), and typically involve no conscious control: seeing things in sunlight and shadows, finding a path through cluttered terrain, fitting pegs into holes, speaking one's own native tongue, and using one's common sense. Because it covers AI research dealing with both these classes of mental capacity, this definition is preferable to one describing AI as making computers do "things that would require intelligence if done by people." However, it presupposes that computers could do what minds can do, that they might really diagnose, advise, infer, and understand. One could avoid this problematic assumption (and also side-step questions about whether computers do things in the same way as we do) by defining AI instead as "the development of computers whose observable performance has features which in humans we would attribute to mental processes." This bland characterization would be acceptable to some AI workers, especially amongst those focusing on the production of technological tools for commercial purposes. But many others would favour a more controversial definition, seeing AI as the science of intelligence in general-or, more accurately, as the intellectual core of cognitive science. As such, its goal is to provide a systematic theory that can explain (and perhaps enable us to replicate) both the general categories of intentionality and the diverse psychological capacities grounded in them. (Boden, 1990b, pp. 1-2)Because the ability to store data somewhat corresponds to what we call memory in human beings, and because the ability to follow logical procedures somewhat corresponds to what we call reasoning in human beings, many members of the cult have concluded that what computers do somewhat corresponds to what we call thinking. It is no great difficulty to persuade the general public of that conclusion since computers process data very fast in small spaces well below the level of visibility; they do not look like other machines when they are at work. They seem to be running along as smoothly and silently as the brain does when it remembers and reasons and thinks. On the other hand, those who design and build computers know exactly how the machines are working down in the hidden depths of their semiconductors. Computers can be taken apart, scrutinized, and put back together. Their activities can be tracked, analyzed, measured, and thus clearly understood-which is far from possible with the brain. This gives rise to the tempting assumption on the part of the builders and designers that computers can tell us something about brains, indeed, that the computer can serve as a model of the mind, which then comes to be seen as some manner of information processing machine, and possibly not as good at the job as the machine. (Roszak, 1994, pp. xiv-xv)The inner workings of the human mind are far more intricate than the most complicated systems of modern technology. Researchers in the field of artificial intelligence have been attempting to develop programs that will enable computers to display intelligent behavior. Although this field has been an active one for more than thirty-five years and has had many notable successes, AI researchers still do not know how to create a program that matches human intelligence. No existing program can recall facts, solve problems, reason, learn, and process language with human facility. This lack of success has occurred not because computers are inferior to human brains but rather because we do not yet know in sufficient detail how intelligence is organized in the brain. (Anderson, 1995, p. 2)Historical dictionary of quotations in cognitive science > Artificial Intelligence
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125 area
1) площадь; пространство3) поверхность4) (производственный) участок; помещение; площадка5) рабочая ячейка ( склада)•equal in area — равновеликий;area of base — площадь основания, площадь подошвы фундаментаarea of bearing — 1. площадь опоры 2. строит. площадка опиранияarea of contact — площадь поверхности контактаarea of diagram — площадь эпюры; площадь графикаarea of fracture — 1. поверхность излома 2. площадь поперечного сечения в месте разрушенияarea of occurrence — возд. район происшествияarea of water section — гидр. площадь живого сечения потокаarea of well influence — зона влияния колодца или скважины-
absorption area
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active area
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actual contact area
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actuating area
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actuation probability area
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addressable area
-
adjustment control area
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advisory area
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air intake hazard area
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aircraft parking area
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airflow separation area
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airport construction area
-
airport prohibited area
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airport service area
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air-route area
-
alighting area
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alloy storage area
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annulus area
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antenna effective area
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antenna area
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antinode area
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aperture area
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approach area
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ash-disposal area
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auditory area
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backwater area
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bare area
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base area
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bearing surface area
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binding area
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blade area
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blade-exit area
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blind area
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blind drainage area
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boarding area
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bolted area
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bonding area
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bond area
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bore area
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bubble-melt surface area
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buffer area
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building area
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built-up area
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burning area
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catalyst surface area
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catchment area
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caved area
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central equipment area
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centralized telecine area
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centralized traffic area
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centralized video tape area
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charge-makeup area
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charging area
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chip area
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choke-tube area
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circling approach area
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clean processing area
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clearance area
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climb-out area
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clinch area
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coal area
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coherence area
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cold area
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commanded area
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common area
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compression area
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concrete area
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cone effect area
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congested area
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connector area
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conservation area
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constant area
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contact area
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contact spot area
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contaminated area
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contamination control area
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contiguous area
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contour area of contact
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control area
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controlled access area
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cooling area
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corrosion area
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coverage area
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crimp area
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critical area
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cross-sectional area
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cross-section area
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cutting area
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cylinder annular area
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dangerous area
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data-rich area
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data-sparse area
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data-void area
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decontamination area
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demixing area
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design wing area
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developed area
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developed blade area
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development area
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die attach area
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diked area
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direct transit area
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discharge area
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display area
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disposal area
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dot area
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downstream area
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drainage area
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drainless area
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dry area
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dynamic area
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echoing area
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echo area
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effective area
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effective braking area
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effective cross-sectional area
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effective cross-section area
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effective screening area
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effects area
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electrical contact area
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electroded area
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elemental area
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enclosed working area
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end safety area
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engineering area
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environmentally fragile area
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exchange area
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exclusion area
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exhaust area
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expanded blade area
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expanded area
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exposure area
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face area
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fan blast area
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felling area
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fenced-off area
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fetch area
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fill area
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film-editing area
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filter effective area
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filter open area
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filtering area
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finished-products storage area
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fixed area
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flame area
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flooded area
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flood-free area
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flooding area
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floor area
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flow area
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focus area
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forbidden area
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free-surface area
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fringe area
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functional area
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furnace area
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fusing area
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fusion area
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gases shear area
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gasket surface area
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gassy area
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gathering area
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gob area
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graticule area
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gray-scale picture area
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gross cross-sectional area
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gross cross-section area
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gross irrigable area
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ground contact area
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gutter area
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hard-core area
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hard-to-reach area
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hearth area
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heat dissipation area
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heat-affected area
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heating area
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heat-transfer area
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high-activity area
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high-beat area
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high-radiation area
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holding area
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hot area
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housing area
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illuminated area
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image area
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impact area
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impression area
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inactive area
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ingot-stripping area
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input area
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instantaneous area of flame front
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instruction area
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intended landing area
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interfacial area
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interference area
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interlocking area
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inundated area
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junction area
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knuckle area
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land area
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landing area
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lateral area
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lift irrigation area
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lift-off area
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link overlapped area
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living area
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living floor area
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load-and-unload area
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load-carrying area
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loading area
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loadout area
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localized areas of wear
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low-radiation area
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makeup area
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maneuvering area
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man-impacted area
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manned area
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manual setting-up area
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melting area
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mesa area
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metropolitan area
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mining area
-
mirror area
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mold conditioning area
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mold opening area
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moment area
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movement area
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mush area
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natural area
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net cross-sectional area
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net cross-section area
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neutron migration area
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nominal contact area
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noncontact area
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nonimage area
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nonmoving area
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nonoccupied area
-
nonprinting area
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nonstorage area
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nonutilizable area
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normally occupied area
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nose area
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nuclear area
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numbering area
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obstructed landing area
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open area
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open flow area
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outgassed area
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output area
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overrun safety area
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pallet area
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patch area
-
pattern area
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payable area
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percent shear area
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personnel and utility area
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phosphor area
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photolithographic area
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picture area
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poor-reception area
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port area
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presentation area
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pressing area
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prewarming area
-
primary area
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primary service area
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printing area
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production area
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production control area
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programmed operating area
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prohibited area
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projectedblade area
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projected area
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propeller disk area
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protected area
-
quality-control area
-
quality area
-
quench area
-
quiet area
-
radar area
-
radiation-control area
-
real area of contact
-
recording area
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record area
-
refining area
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regeneration area
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reinforcing steel area
-
rerecording area
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reservoir surface area
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reservoir area
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residential area
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resident area
-
residential floor area
-
restricted area
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retarder area
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rig deck area
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risk area
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robot area
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roof contact area
-
rubbing path area
-
rudder area
-
run-up area
-
rural area
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safe operating area
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safety area
-
sail area
-
save area
-
scanned area
-
scrap-consuming area
-
scrap-disposal area
-
scrap-grading area
-
scratch area
-
screen area
-
sealing area
-
seal area
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search area
-
secondary area
-
sectional area
-
section area
-
seeking area
-
segregated area
-
service area
-
serviceable area
-
setting-up area
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shaded area
-
shadow area
-
shareable area
-
shoe pad transition area
-
shooting area
-
sintering area
-
site area
-
skip area
-
slag-line area
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slot area
-
slowing-down area of neutron
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snow-covered area
-
solid area
-
sound area
-
sound-track area
-
special work permit area
-
specific floor area
-
specific surface area
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spliced area
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spoil area
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stack area
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stockline area
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stool conditioning area
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storage area
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stripped area
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subsidence area
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superheated area
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surface area
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switching area
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takeoff area
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takeoff flight path area
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tape area
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taphole area
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target area
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technical-equipment area
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technical area
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telecine area
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tension area
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terminal area
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terminal control area
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test area
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throat area
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tongs area of pipe
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tool service area
-
tool-presetting area
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total area
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total irrigation area
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total tuyere area
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transient area
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turnaround area
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tuyere area
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type area
-
unattacked area
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undershoot area
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ungaged area
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uniform area
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unobstructed landing area
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upstream area
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urban area
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usable area
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user area
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valve fillet area
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valve seating face area
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video tape recording area
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video tape area
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viewing area
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vision control area
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vulnerable area
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waste area
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waste-metal area
-
waste-storage area
-
water catchment area
-
waterplane area
-
water-surface area
-
wear track area
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weld metal area
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well drainage area
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wellhead area
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wetted area
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wildlife area
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window area
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worked-out area
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working area
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yard area
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yoke area -
126 chain
1) цепь; цепочка || образовывать( формировать) цепь или цепочку; сцепляться2) геод. мерная цепь || измерять мерной цепью ( расстояние)5) система; сеть (напр. станций)6) тракт; канал7) застёжка-молния; закрытая цепочка застёжки-молнии8) чейн ( единица длины)•-
green chain
-
anchor chain
-
antiskid chain
-
backbone chain
-
basic chain
-
bead chain
-
binary chain
-
bit chain
-
block chain
-
brake chain
-
branched chain
-
bridle chain
-
broadcasting television chain
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bucket chain
-
bull chain
-
bushing chain
-
bush chain
-
call chain
-
camera chain
-
carbon backbone chain
-
carrier chain
-
chain of commands
-
closed kinematic chain
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code chain
-
conveyor chain
-
crane chain
-
cross-linked chain
-
cutting chain
-
daisy chain
-
decay chain
-
decking chain
-
deck chain
-
deviner chain
-
distribution chain
-
double-stranded chain
-
drag chain
-
drive chain
-
dry chain
-
electroblasting chain
-
elevator chain
-
embedded Markov chain
-
endless chain
-
engineer's chain
-
feed chain
-
feeder chain
-
film chain
-
food chain
-
forked chain
-
Gunter's chain
-
handbrake chain
-
haulage chain
-
hierarchical chain
-
hoist operation chain
-
hoisting chain
-
hydrocarbon chain
-
hypothetical reference chain
-
insulator chain
-
inverted-tooth chain
-
killing chain
-
kinematic chain
-
land chain
-
lazy chain
-
lifting chain
-
linear chain
-
link belt chain
-
link chain
-
loading chain
-
log chain
-
logic chain
-
Loran chain
-
main chain
-
Markov chain
-
measurement chain
-
oil chain
-
open kinematic chain
-
ore pass chain
-
packaging chain
-
paddled conveyor chain
-
panning chain
-
pattern chain
-
pickup chain
-
planar conveyor chain
-
playback chain
-
pointer chain
-
poll chain
-
polymer chain
-
processing chain
-
proton-proton chain
-
pull chain
-
pulse chain
-
receive chain
-
recording chain
-
roller chain
-
satellite chain
-
saw chain
-
scoop chain
-
scraper chain
-
seismic chain
-
shift chain
-
side chain
-
silent chain
-
single-stranded chain
-
skip-searched chain
-
sleeve chain
-
sling chain
-
spinning chain
-
storage chain
-
straight chain
-
stud link chain
-
studless chain
-
surveyor's chain
-
tail chain
-
television chain
-
thermistor chain
-
tire chain
-
tool storage chain
-
tool chain
-
tow chain
-
track chain
-
transformation chain
-
transmit chain
-
winch drum chain -
127 department
1) цех; мастерская; участок3) амер. министерство4) амер. факультет•-
arc-furnace department
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art department
-
assembling department
-
blast-furnace department
-
burning department
-
by-product-coke department
-
by-product-recovery department
-
car department
-
chilling department
-
cleaning department
-
coke-pitch department
-
cold rolling department
-
compound department
-
construction department
-
converter department
-
defrosting department
-
drafting department
-
engineering department
-
filing department
-
fire department
-
freezing department
-
functional department
-
gage inspection department
-
kiln department
-
limekiln department
-
machine-assembly department
-
maintenance department
-
mechanical-repair department
-
mill department
-
mixer department
-
NC department
-
NC inspection department
-
numerical control department
-
planning department
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plating department
-
processing department
-
process department
-
production department
-
programs and production department
-
purchase department
-
scheduling department
-
service department
-
shipping department
-
Standards department of the Board of Trade
-
teeming department
-
telecine department
-
tool grinding department
-
tool maintenance department
-
track maintenance department
-
traffic department
-
welding department -
128 TP
1) Общая лексика: inspection test plan, like TCP)2) Компьютерная техника: Thermal Printer, Touch Panel, Transactional Process, Turbo Pascal, Turing Processor3) Биология: testosteron propionate4) Медицина: Trusted Pharmacist, общий белок (total protein), тестостерона пропионат5) Американизм: Termination Power, Trade Policy, Twin Priorities6) Ботаника: Tender Perennial, Thermo Plankton7) Спорт: Technique Points, Teen Players, Tell Position, Tournament Pack, Tournament Play, Troll Persistantly, Trout Production, True Players8) Военный термин: Tactical Points, Telephone, Temporary Pass, Tentative Preference, Toilet Paper, Total Package, Total Penetration, Transition Plan, Turn Port, tank-piercing, target package, target point, target practice, technical pamphlet, technical paper, technical performance, technical problem, technical proposal, technical publication, technology parameter, telemetry processor, terminal point, test panel, test pilot, test plan, test procedure, time and percussion, top priority, tracking program, training period, training pipeline, training projectile, transfer point, transition period, transport pack, transport pilot, transportation priority, troop program, true position, turning point9) Техника: Textile Paper, Thermal Pajamas, Thread Pool, tape, tape puncher, telephone pickup, teleprinter, teleprocessing, temporary procedure, test port, test position, testosterone propionate, timing point, total pressure, transfer on positive, triple pole switch, tube plug, tube pressure, tuned plate, переходной патрубок, transition piece10) Сельское хозяйство: total porosity12) Химия: Transition Point, Triple Point13) Математика: Transforming Principle, True Positive, Tuple Production, полная положительность (total positivity), транспортная задача (transportation problem)14) Религия: Total Praise, Total Prayer15) Железнодорожный термин: Union Pacific Railroad Company16) Юридический термин: The Pedophile, Theft Protection, Traffic Police, True Parents17) Автомобильный термин: throttle position, Theft Protection Защита от угона18) Биржевой термин: Target Price, Trade Pending, Trade Police19) Ветеринария: Top Parrot20) Грубое выражение: Tits And P, Trading Partners21) Политика: Sao Tome and Principe22) Телекоммуникации: Telephone Pole, Transaction Program, Typical Provider, Transport Protocol (ISO)23) Сокращение: East Timor, Tactical Plot, Timor Portuguese, Traffic Post, Training Practice, tie plate, top, torpedo part of beam, transportation problem, true profile, Transport Protocol (ISO/CCITT Transport Services (TP0-TP4); like TCP), total protein, Technical Project24) Университет: Teaching Practice, Technology Prodigies25) Физика: Time Polygon, Toroidal Poloidal, Transmission Projection26) Физиология: Triple Penetration27) Электроника: Timing Pulse, Top Plate, Tuning Pulser28) Вычислительная техника: Transport Protocol, terminal processor, test program, Turbo Pascal (Borland), Transport Protocol (ISO/CCITT Transport Services (TP0-TP4), Twisted Pair (cable, LAN)29) Нефть: tool pusher, triple pole, буровой мастер (tool pusher), техническая статья (technical paper), давление в насосно-компрессорных трубах (tubing pressure), Tubing Puncher30) Связь: terminal portability31) Транспорт: Telecommunications Processor, Tire Pressure, Total Particulate Matter, Tour Preferred, Tour Proven, Traffic Programme, Trailer Point, Travel Permit32) Пищевая промышленность: Toss Pot, Tough Pigs33) Фирменный знак: Towne Pharmacy, Trading Post34) Экология: Timber Preserved, Tropical Park35) СМИ: Tattler Plus, The Poet, Tiny Plot, Trade Paperback, Translation Process, Two Part36) Деловая лексика: Technology Preview, Tee Productions, Typical Price37) Глоссарий компании Сахалин Энерджи: Third Parties38) Образование: Teacher Pronounced, Tried And Proven39) Сетевые технологии: Team Portal, Termination Point, Transaction Processor, Transfer Protocol, Transit Portal, transaction processing, twisted pair, витая пара, обработка транзакций, транспортный протокол40) Полимеры: test pressure, thermoplastic, tubing pressure41) Ядерная физика: Terphenyl42) Контроль качества: test point43) Пластмассы: Tube Plastic44) Сахалин Р: Technical Passport, Technical Permit, Topping Plant45) Химическое оружие: technical provision46) Безопасность: Tamper Proof47) Расширение файла: Turbo Pascal Configuration file, Turbo Profiler Session-state file, Turbo Pascal cfg file (Borland Pascal)48) Энергосистемы: transmission provider, компания-провайдер электропередачи49) Нефть и газ: technical design, trunk pipeline, МН, магистральный нефтепровод50) МИД: theoretical performance (of a single "CE")51) Электротехника: timing pulses, tin plate52) Фантастика Tiger Princess, Tongan Princess53) Имена и фамилии: Thomas Paine, Tom Petty54) Должность: Teaching Professional, The Pretender, Tidy And Punctual, Transpersonal Psychology55) Чат: Tested Positive, Top Posting56) Правительство: Terrace Park57) НАСА: Tracker Processor58) Программное обеспечение: Third Party59) Хобби: Tin Penny60) Федеральное бюро расследований: Tampa Field Office61) Международная торговля: Trading Partner
Страницы
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